Energy consumption and pollutant emission of diesel-fired combustion from 2009 to 2018 in Beijing, China

2021 ◽  
Vol 285 ◽  
pp. 112137
Author(s):  
Yifeng Xue ◽  
Tongran Wu ◽  
Yangyang Cui ◽  
Baohan Gong ◽  
Xueyao Li ◽  
...  
2019 ◽  
Vol 29 (6) ◽  
pp. 959-970 ◽  
Author(s):  
Guohua He ◽  
Yong Zhao ◽  
Jianhua Wang ◽  
Yongnan Zhu ◽  
Shan Jiang ◽  
...  

2013 ◽  
Vol 663 ◽  
pp. 941-945
Author(s):  
Xian En Wang ◽  
Du Feng Li ◽  
Wen Jin Zhao ◽  
Yu Li

As the rapid development of Chinese economy, the total energy consumption and pollutant emission increased increasingly, which lead to a terrible situation in energy safety and environmental pollution. In the meantime, the greenhouse gas (GHG) and pollutants (such as SO2, NOx and NH3-N) generated by energy consumption increased, and the above pollutions had brought a substantial negative impact on global climate change and low-carbon economy (LCE) development. This paper analyzed the situation of energy consumption in China, and revealed the significance of total energy consumption. Energy consumption control based on LCE theory was the effective protection measure of national resources and energy security, and could promote the economic development and adjustment of industrial structure, which was investigated from three aspects expressed as three allocation models in the article. The results indicated that, energy consumption control can promote development of LCE by protecting eco-environment and sustaining security of energy and resources, and supporting steady development of our society by minimizing the utilization of energy, and the above aspects would be the key points in control of total energy consumption and pollutant emission during the 12th Five-Year Planning in China.


2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Xu Sun ◽  
Hua-pu Lu ◽  
Wen-jun Chu

To satisfy the demand of low-carbon transportation, this paper studies the optimization of public transit network based on the concept of low carbon. Taking travel time, operation cost, energy consumption, pollutant emission, and traffic efficiency as the optimization objectives, a bilevel model is proposed in order to maximize the benefits of both travelers and operators and minimize the environmental cost. Then the model is solved with the differential evolution (DE) algorithm and applied to a real network of Baoji city. The results show that the model can not only ensure the benefits of travelers and operators, but can also reduce pollutant emission and energy consumption caused by the operations of buses, which reflects the concept of low carbon.


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